BDT: Gradient Boosted Decision Tables for High Accuracy and Scoring Efficiency

Yin Lou, Mikhail Obukhov. BDT: Gradient Boosted Decision Tables for High Accuracy and Scoring Efficiency. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017. pages 1893-1901, ACM, 2017. [doi]

@inproceedings{LouO17,
  title = {BDT: Gradient Boosted Decision Tables for High Accuracy and Scoring Efficiency},
  author = {Yin Lou and Mikhail Obukhov},
  year = {2017},
  doi = {10.1145/3097983.3098175},
  url = {http://doi.acm.org/10.1145/3097983.3098175},
  researchr = {https://researchr.org/publication/LouO17},
  cites = {0},
  citedby = {0},
  pages = {1893-1901},
  booktitle = {Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13 - 17, 2017},
  publisher = {ACM},
  isbn = {978-1-4503-4887-4},
}